This is the data visualization software you’ve been looking for

Purpose-built for Oil & Gas

Other data analytics software tries to work for everyone under the sun. VERDAZO is built just for you. We’ve worked with hundreds of Oil & Gas industry experts and thousands of users to tailor its capabilities to your analytics challenges. You’ll experience its power from the first day you use it.

Unique Discovery Analytics

Discovery Analytics is our unique visual analysis methodology. Other tools let you explore data but only within the bounds of how they were built and limited by the technical and domain expertise of their creators. VERDAZO enables you to cut a path through the data and steer your evolving analysis in whatever direction your insights take you.

Broad pre-built capabilities

You don’t have to build anything with VERDAZO. We’ve done it for you. VERDAZO comes with our pre-built Analytics Accelerators: chart templates, workflows and custom reports, plus you can build your own analyses. Our Analytics Accelerators are embedded with Oil & Gas best practices and customizable to meet your specific business needs.

Value from day one

Some data analytics software requires you to devote extra time and energy before you can do any effective analysis, but VERDAZO is no build-it-yourself toolkit like Spotfire or Tableau. It’s a fully built software application and is ready to use from day one. In fact, many users are doing effective analysis within minutes of being set up.

Machine Learning

Artificial intelligence offers you the ability to leverage the integrated datasets used across all asset life-stages. You can identify and quantify which inputs matter most for specific outcomes, determine dependencies between model inputs and develop predictive models – and that’s just the start. Machine Learning will help you take your analysis to the next level.

Explore our very best Oil & Gas analytics content

Before machine learning came along, a typical approach to building a predictive model was to develop a model that best fit the data. But will a model that best fits your data provide a good prediction? Not necessarily. Fortunately, there are machine learning practices that can help us estimate and optimize the predictive performance of models. But before we delve into that, let’s illustrate the potential problem of “overfitting” your data. Fitting the Trend vs. Overfitting the Data For a given dataset, we could fit a simple model to the data (e.g., linear regression) and likely have a decent chance of representing the overall trend. We could alternatively apply a very complex model to the data (e.g. a high-degree polynomial) and likely “overfit” the data – rather than representing the trend, we’ll fit the noise. If we apply the polynomial model to new data, we can expect it to make poor predictions given it’s not really modeling the general trend. The example above illustrates the difference between modelling the trend (the red straight line) and overfitting the data (the blue line). The red line has a better chance of predicting values outside of the dataset presented. Due to the powerful...

Verdazo Analytics President Bertrand Groulx is a featured panelist for Calgary chapter of the Smith Business Club of Queen’s University. The panel, titled “Leveraging Data Analytics in Your Business,” takes place Wednesday March 14, 2018 from 5:30-8:30 in the Petroleum Club in Calgary. The panelists will cover why employing analytics is a critical enabler of business and some of the common pitfalls to avoid when integrating and deploying them across an organization. Additional panelists at the event include Kaush Rakhit (President – Canadian Discovery Ltd., Upstream Oil and Gas Analytics, Data and Expertise), Pavel Rahman (Lead – IBM’s AI & Advanced Analytics Consulting Practice in Canada), and Simon Rivard (Manager – Ember Resources; Specialties: Oil and Gas Data Management). Register for the event and learn more here.

Verdazo Analytics today announced the appointment of Ryan Bielefeld as U.S. Sales Manager as part of its expansion into the U.S. market. Bielefeld will lead the company’s business development efforts and be based out of Houston, Texas. Previous to joining Verdazo Analytics, Ryan spent nearly five years in Account Management at Pason Systems, Inc., which acquired Verdazo Analytics last year. At Pason, Ryan split his time between Calgary and Houston. He focused on offering his clients integrated data solutions that enabled users to collect, manage, report and analyze real-time drilling data. He’ll continue that work in his new role, helping to further integrate Pason’s wealth of drilling data into VERDAZO software and the company’s newly launched Machine Learning Division. “We have the Oil & Gas industry’s best visual analytics software and we’re excited for Ryan to start sharing it with our new partners in the United States,” says Bertrand Groulx, President of Verdazo Analytics. Ryan brings deep industry experience and expertise, with over 20 years in upstream Oil & Gas, including multiple roles at Schlumberger, and Weatherford Drilling Services. “Our U.S. clients should expect the same thing our Canadian clients do: industry-leading service and best-in-class software that enables them to...